Gegevens mining is: 1) The practice of examining large databases to generate fresh information and Two) the process of analyzing gegevens from different perspectives to make it insightful and useful.

Gegevens mining is used by companies to increase revenue, decrease costs, identify customers, provide better customer service, listen to what others are telling and do competitive intelligence. And that’s just some of the ways.

Here’s are 20 companies that do gegevens mining and prove it makes their business better.

  1. AMAZON: With $Five off, for those who use the Amazon Price Check Mobile App – to scan the products te store, take a picture of the product or perform a text search to find the lowest prices, the app also prompts the customers to submit the in-store price. Amazon is collecting intelligence and valuable pricing information from its competitors.
  2. ARBY’S: The prompt food company uses gegevens mining to help them determine the best targets for their advertisements. They can see which advertisements are most effective, while eyeing the channels that are most receptive to each ad pitch. This permits them to ensure every advertisement utilizes the suitable channel to increase the number of leads from their marketing.
  3. CAPITAL ONE: Gegevens mining and big gegevens management to help them ensure the success of all customer offerings. By analyzing the demographic gegevens and spending habits of customers, they’re able to determine the most optimal times to present various offers to clients, thus enhancing the conversion rates of their offers and gaining more leads from their marketing budget.
  4. DELTA: Large airlines like Delta, monitors tweets to find out how their customers feel about delays, upgrades and in-flight entertainment. When a customer tweets negatively about his lost baggage, the airline forwards to their support team. The support team sends a representative to the passengers destination presenting him a free very first class upgrade toegangsbewijs on his terugwedstrijd along with the information about the tracked baggage promising to supply it spil soon spil he or she steps out of the plane.
  5. DUETTO: Known online for their “hotel optimization,” Duetto makes it lighter for companies to personalize gegevens to individuals searching online for hotels. Duetto makes it effortless for hotels to personalize their prices by taking gegevens such spil how much you typically spend at the buffet or gokhal to incentivize you with a lower price for your slagroom. Therefore the hotel can give you a better price, knowing you’ll spend money on other services. The hotel can give you a better price, knowing you’ll spend money on other services.
  6. EXPRESS SCRIPTS: Which processes pharmaceutical claims, realized that those who most need to take their medications were also those most likely to leave behind to take their medications. So they created a fresh product: Beeping medicine caps and automated phone calls reminding patients it’s time to take the next dose.
  7. FREE PEOPLE: The more bohemian segment of Urban Outfitters, uses millions of customer records (reviewed by an te house analytics team) to form the next season’s offerings. Information like what sold, what didn’t, what wasgoed returned and more fuels the brand’s product recommendations, the look of its webstek and what kinds of promotions customers see to improve Free People’s bottom line.
  8. GOOGLE AND CENTER FOR DISEASE CONTROL (CDC): Google proposed a different treatment. Using historical gegevens from the CDC, Google compared search term queries against geographical areas that were known to have had flu outbreaks. Google found spikes te certain search terms where flu outbreaks occurred and identified forty-five terms that were strongly correlated with the outbreak of flu. Google then embarked tracking the use of those terms and is now able to accurately predict when a flu outbreak is occurring ter real time. Using this gegevens, the CDC can act instantaneously.
  9. KOHL’S: Customers are more likely to react to an opoffering when it’s at the uur of purchase. That’s why Kohl’s does real-time, personalized offers. Shoppers can opt te for offers via their smartphones. So if a shopper stays ter the shoe department, for example, they can receive a coupon on the footwear they looked at online but never bought,
  10. KREDITECH: European company, uses more than 8,000 sources including social media, to create a unique credit score for consumers, which is then sells to banks and other lenders. And they have discovered some surprising correlations inbetween social media behaviors and financial stability. For example, if your Facebook friends use all capital letters, your score is docked.
  11. MACY’S: Through sentiment analysis of big gegevens, Macy’s finds out that people who are sharing tweets about “Jackets” are also making use of the terms “Michael Kors” and “Louis Vuitton” frequently. This information helps the retailer to identify what brands of jackets should be suggested discounts te their future advertising campaigns to attract customers.
  12. MCDONALD’S: With more than 34K local restaurants serving Sixty-nine million customers across 118 countries , 62 million daily customer traffic, selling 75 commune every 2nd, $27 billion annual revenue- McDonald’s is using big gegevens analytics to build up loterijlot more insight to improve operations at its various stores and enhance customer practice. McDonald’s analytics system anatomiseren gegevens about various factors such spil wait times, information on the spijskaart, the size of the orders, ordering patterns of the customers.
  13. NETFLIX: To create gegevens models and find what makes display or movie popular among consumers, according to the insights they gained from their gegevens, House of Cards wasgoed the ultimate entertainment practice. They went all out, winning a bidding war with other companies overheen the rights and instantaneously scheduled two seasons of content before displaying a thing. It wasgoed a phat success, and the best part is they almost knew it would be.
  14. NORDSTROM: With 225 retail outlets, Nordstrom generates petabytes of gegevens from its Four.Five million Pinterest followers, 300,000 Twitter followers and Two million likes on Facebook. Their analytics system monitors customer behaviour by tracking – How many people inject the store, which section they walk ter, how long they stay at the store and for how long they shop te a particular section. This helps Nordstrom determine what products should be promoted to which customers when and through what advertising channel.
  15. PANDORA: With 72 million users and the gegevens for approximately 200 million users’ listening habits, Pandora is a name to reckon with te the music industry for providing music recommendations that people indeed love. Speciaal from the gegevens like gender, age, zip code that users provide at sign up, Pandora tracks all the songs that a particular user likes and dislikes, from which location they listen, from which devices they listen and more – to provide customers with curated music catalogue based on interests and demographics.
  16. PREDPOL: The Los Angeles and Santa Cruz police departments, a team of educators and a company called PredPol have taken an algorithm used to predict earthquakes, tweaked it and commenced feeding it crime gegevens. The software can predict where crimes are likely to occur down to 500 square feet. Te Lade, there’s bot a 33% reduction te burglaries and 21% reduction ter violent crimes ter areas where the software is being used.
  17. STARBUCKS: Spil the leading coffeehouse company ter the world, Starbucks manages to open fresh stores ter very close proximity with their other stores, while still ensuring a high success rate. Normally, when expanding a company, it’s needlessly risky to open a fresh location just a block from another location.
  18. T-MOBILE: Gegevens mining helps reduce customer turnover rate. By analyzing big gegevens, T-Mobile can determine the core causes for turnover, permitting them to implement effective solutions that will keep more clients on houtvezelplaat. Spil a telecom company, they accrue boundless quantities of gegevens every year, and without big gegevens management, the capability to analyze the gegevens would be greatly inhibited.
  19. THOMSON REUTERS: Financial experts can build up competitive advantage by analysing the twitter sentiment gegevens by tracking specific tweets from various companies and people. This helps financial professionals get an overview on the number of positive and negative sentiments related to any given company. Sentiment analysis along with other advanced big gegevens analytics solution helps the financial professionals spot the financial market and any events impacting the company spil they toebijten.
  20. WALMART: The mega-retailer’s latest search engine for includes semantic gegevens. Polaris, aplatform that wasgoed designed in-house, relies on text analysis, machine learning and even synonym mining to produce relevant search results. Wal-Mart says adding semantic search has improved online shoppers completing a purchase by 10% to 15%. “In Wal-Mart terms, that is billions of dollars,” Laney said.

Do thesis companies prove how gegevens mining could make your business better? Could your company benefit from gegevens mining?

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